Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making

Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making

COVID-19 has spread rapidly across the world, leading to the insufficiency of medical resources in many regions. Early detection and identification of high-risk COVID-19 patients will contribute to early intervention and optimize medical resource allocation. Using the clinical data from the Affiliat...

Full description

Bibliographic Details
Main Authors: Beibei Shi, Hua Ye, Jian Zheng, Yefei Zhu, Ali Asghar Heidari, Long Zheng, Huiling Chen, Liangxing Wang, Peiliang Wu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
COVID-19
support vector machine
slime mould algorithm
new movement strategy
standard benchmark functions
early recognition and discrimination
Online Access:https://ieeexplore.ieee.org/document/9524619/

Internet

https://ieeexplore.ieee.org/document/9524619/

Similar Items